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Earlier sources: Energy
Energy research and engineering concern how power is produced, stored, delivered, and consumed. Follow solar and nuclear power, fusion, geothermal systems, batteries, electricity grids, and changing power demand.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗691 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Machine Learning‐Enabled Occupancy Modelling for Energy‐Efficient and Sustainable Building Operations: A Critical Review of Strategies and Future Directions ↗
ABSTRACT The study of occupancy behaviour (OB) and prediction of building energy consumption is an important topic, while machine learning (ML) with the use of real‐time data and adaptive algorithms has become more relevant. Although research in this area is rapidly expanding, each of the models developed so far still presents limitations in scalability and transferability to various building environments attributed to the differences in modelling strategies, data inputs, sensing approaches and evaluation methods. The current review studies have tended to be limited to a specific aspect of occ…
- OpenAlex · Published · First archived
A casting defect detection algorithm based on multi-dimensional efficient feature fusion convolution ↗
In the sand casting process, identifying and sorting defects such as surface porosity, inclusions, and cracks are crucial for ensuring casting quality. Existing casting defect detection algorithms are deficient in recognition accuracy and detection efficiency. To solve these problems, this study proposes an improved convolutional layer architecture based on the YOLOv8 model: efficient feature fusion convolution (EFFC) and multi-dimensional efficient feature fusion convolution (MEFFC). These architectures can simultaneously capture multi-scale features of casting defects while maintaining high…
- OpenAlex · Published · First archived
Semantic Surface Integration in CityJSON-Based Urban Digital Twins: A Rooftop Photovoltaic Potential Use Case ↗
Urban digital twins provide an integrated framework for combining semantic 3D city models, simulation results, and interactive visualization in support of urban energy analyses. While existing approaches effectively represent results at the building scale, extending this capability to individual semantic surfaces remains challenging. Applications such as rooftop solar assessment require simulation results to be associated with each roof surface and visualized at the same level of detail, yet current CityJSON visualization tools do not support attribute-driven rendering of surfaces belonging to…
- OpenAlex · Published · First archived
Symmetry and Asymmetry in Adaptive Selection and Fuzzy Fusion for Industrial Anomaly Detection: The MSPNet Framework ↗
Unsupervised industrial anomaly detection learns from normal images and identifies defects unseen during training. In reconstruction-based detectors, the features used to represent normality and the residuals used to localize defects vary across images, yet these signals are commonly selected with fixed category-level rules. We propose MSPNet, a Mirrored Selection Policy Network that learns these choices from validation performance. Its feature selection policy chooses channels that characterize normal appearance, and its residual selection policy chooses residuals for localization. The polici…
- OpenAlex · Published · First archived
Three-dimensional thermal analysis of a compartmentalized metal-foam-enhanced PCM system for high-rate Li-ion battery thermal management ↗
The increasing thermal load of lithium-ion batteries during high-rate operation necessitates effective passive battery thermal management systems (BTMS) to control peak temperatures and improve thermal uniformity. This study investigates a three-dimensional compartmentalized copper-casing BTMS incorporating metal-foam-enhanced phase change materials (PCMs) under a 5C discharge condition. The numerical model employs the NTGK battery model, the enthalpy–porosity method, and the Brinkman–Darcy porous-medium formulation, with the electrical response validated against published experimental data an…
- OpenAlex · Published · First archived
Synergetic optimization of multi-layer energy networks for Lithium-ion battery manufacturing coupled production rhythms ↗
To address the strong coupling between production processes and multi-layer energy networks (MENs), the mutual constraints between production rhythms and intermediate inventories, and the interactions between hourly electricity prices and renewable energy sources in lithium-ion battery factories, this paper proposes a coordinated production scheduling and energy management framework. An integrated multi-layer resource task network (MRTN) coupled with production rhythms and an MEN optimization model is developed. Specifically, an MRTN model is established to describe the sequential manufacturin…
- OpenAlex · Published · First archived
Assessment of energy storage systems using a linguistic spherical fuzzy Hamacher aggregation operators-based group decision making model ↗
Energy storage systems (ESSs) play a crucial role in enhancing grid stability, facilitating renewable energy integration, and supporting sustainable energy transitions. However, selecting the most suitable ESS remains a challenging task due to the presence of multiple conflicting criteria and the inherent uncertainty in expert evaluations. To address this issue, this study proposes an integrated multi-criteria group decision-making (MCGDM) framework based on linguistic spherical fuzzy (LSF) information. In the proposed approach, novel Hamacher aggregation operators are developed under the LSF…
- OpenAlex · Published · First archived
Thermal Environment Assessment for Energy-Efficient Cooling in Air-Cooled Data Centers: Measurement, CFD, and Predictive Modeling ↗
Maintaining a stable thermal environment is essential for ensuring data center thermal safety and reliable operation. However, existing studies lack a systematic synthesis of thermal environment measurement, modeling approaches, and their contributions to energy-efficient cooling. This review systematically analyzes 77 studies published since 2010 on experimental measurement, CFD simulation, and predictive modeling of data center thermal environments. The review identifies representative measurement strategies at rack and room scales, analyzes factors affecting CFD reliability, and evaluates t…
- OpenAlex · Published · First archived
Further Development of the CityGML Energy Application Domain Extension 3.0 ↗
The CityGML Energy Application Domain Extension (ADE) is an open and standardised data model to facilitate multi-scale cross-sectoral Urban Energy Modelling applications. It is based on the international standard CityGML (version 2.0), and was first released in 2018. Since 2024, the data model has been undergoing a major revision to align it with recent developments in CityGML, address feedback from its user community, and better support emerging data and interoperability requirements. The Energy ADE 3.0 beta 7 has been released in autumn 2025. Since its release, several ideas and suggestions…
- OpenAlex · Published · First archived
Theoretical Efficiency Limits of Large Area Monolithic Solar Cells Composed of Metalized Transparent Electrodes Based on Optimized Laboratory Sized Test Cells ↗
The deposition of metal lines onto transparent conductive electrodes (TCEs) provides a path to high‐efficiency, large‐area monolithic submodule solar cells by reducing series resistance and improving charge collection. However, the metal lines introduce optical and geometric losses through shading and inactive regions, creating a trade‐off between resistive and optical performance. A device model is developed to quantify this trade‐off across multiple photovoltaic architectures, including organic and perovskite single‐junction devices and a range of tandem devices, to predict the maximum achie…
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How to assess evidence about Energy
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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